A device and method for detecting the degree of clogging of an in-situ leaching uranium drilling filter section
By using a combination of flow measurement module and signal processing platform in the uranium leaching borehole, the degree of blockage at each location of the borehole filter section can be detected in real time. This solves the problem that existing technologies cannot specifically analyze the cause of blockage, and achieves the effect of quantitative detection and guidance for production adjustments.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIJING RESEARCH INSTITUTE OF CHEMICAL ENGINEERING AND METALLURGY
- Filing Date
- 2023-10-30
- Publication Date
- 2026-07-28
AI Technical Summary
Existing technologies cannot effectively detect the degree of blockage at various locations in the borehole filter section of in-situ uranium leaching mining, making it impossible to specifically analyze the causes of blockage and adjust the well site production system. There is a lack of effective detection devices and methods.
A device for detecting the degree of blockage in a borehole filter section of in-situ leaching uranium mining is adopted, including a flow measurement module, cable, guide wheel and signal processing platform. By raising the flow measurement module from bottom to top in the borehole, flow data is collected in real time and the blockage factor is calculated to determine the degree of blockage at each location.
It enables quantitative detection of the degree of blockage at various locations in the borehole filter section, provides a basis for analyzing the causes of blockage, and offers guidance for adjusting well site production systems and well washing operations.
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Figure CN117248886B_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of uranium mining technology, and in particular to a device and method for detecting the degree of blockage in borehole filter sections of in-situ leaching uranium mining. Background Technology
[0002] In-situ leaching (ISL) is a uranium mining process that integrates mining, beneficiation, and smelting. It is mainly used in the development of sandstone-type uranium resources and has become the main process for natural uranium mining in China. The ISL process involves injecting a chemical solution into the ore-bearing strata through boreholes, controlling the hydraulic gradient of the flow field to allow the solution to migrate along the ore layer, react with the ore to generate a uranium-containing solution, and finally extracting it to the surface through pumping holes for separation and purification.
[0003] During production, due to the geological characteristics of uranium ore layers, solid particles and solutes migrate within the ore layer, and chemical reactions occur between the leaching solution and the ore rock, leading to physical and chemical blockages. This manifests as a decrease in the injection fluid volume after the borehole has been running for a period of time. Currently, uranium mines mainly assess the degree of blockage in the borehole filter section by observing the decrease in injection fluid volume. However, the injection fluid volume only reflects the overall blockage level of the borehole and cannot specifically reflect the blockage situation at different locations within the filter section (i.e., the non-uniformity of blockage in the filter section), which makes it difficult to further analyze the causes of blockage and evaluate well completion methods. Currently, in-situ leaching uranium mines lack effective means to detect the degree of blockage in the borehole filter section. There is an urgent need for quantitative detection devices and evaluation methods for the degree of blockage to provide guidance for subsequent adjustments to well site production systems and on-site well washing operations. Summary of the Invention
[0004] The purpose of this invention is to provide a device and method for detecting the degree of blockage in borehole filter sections of in-situ leaching uranium mining, which can detect the degree of blockage at various locations in the borehole filter section.
[0005] To achieve the above objectives, the present invention provides the following solution:
[0006] A device for detecting the degree of blockage in a borehole filter section of in-situ leaching uranium mining, the device comprising: a flow measurement module, a cable, a guide wheel, and a signal processing platform;
[0007] The guide wheel is installed at the borehole head, the flow measurement module is set in the borehole, and the signal processing platform is located outside the borehole;
[0008] The cable is wound around the guide wheel; one end of the cable is connected to the flow measurement module, and the other end of the cable is connected to the signal processing platform.
[0009] The guide wheel is used to lift the flow measurement module from bottom to top in the borehole filter section at a preset lifting speed; the flow measurement module is used to collect flow data at different positions in real time during the process of lifting the borehole filter section from bottom to top, and transmit the real-time collected flow data at different positions to the signal processing platform.
[0010] The signal processing platform is used to determine the measured flow velocity at each location based on the real-time collected flow data at each location, and to calculate the blockage factor at each location based on the measured flow velocity at each location, thereby determining the degree of blockage at each location of the borehole filter section through the blockage factor.
[0011] A method for detecting the degree of blockage in a borehole filter section of in-situ leaching uranium mining, wherein the detection method is applied to the aforementioned detection device, and the detection method includes:
[0012] Determine the relationship between boost speed and response flow rate;
[0013] The flow measurement module is raised from bottom to top in the borehole filter section at a preset lifting speed, and flow data at different locations are collected in real time.
[0014] Based on the preset boost rate, the response flow rate at the preset boost rate is determined by utilizing the relationship between the boost rate and the response flow rate.
[0015] The flow rate at different locations is corrected using the response flow rate at a preset boost speed.
[0016] Based on the corrected flow data, the measured flow velocity at different locations in the filter section is calculated;
[0017] The clogging factor at each location in the filter section is determined based on the measured flow velocity at each location in the filter section.
[0018] The degree of clogging at each location in the filter segment is analyzed based on the clogging factor at each location.
[0019] Optionally, the relationship between boost speed and response flow rate is determined, specifically including:
[0020] The flow measurement module in the detection device is raised from the lower part of the borehole filter section to the upper part of the borehole filter section at different lifting speeds to obtain the response flow rate at each lifting speed.
[0021] Based on the response flow rate at different lifting speeds, the relationship between lifting speed and response flow rate is obtained using a linear fitting method.
[0022] Optionally, the flow measurement module is raised from bottom to top in the borehole filter section at a preset lifting speed, and flow data at different locations are collected in real time. This also includes:
[0023] The submersible pump is lowered to a certain depth below the static water level in the borehole, and the solution is pumped out at a constant flow rate Q1 until the water level stabilizes; wherein, the static water level is the depth of the water in the borehole when no pumping operation is performed.
[0024] Optionally, the flow rate at different locations is corrected using the response flow rate at a preset boost speed, specifically including:
[0025] Based on the response flow rate at the preset boost speed, using the formula Q = Q c -Q0 is used to correct the traffic data; where Q represents the corrected traffic data, Q c This represents the flow data before correction, and Q0 represents the response flow under the preset boost speed.
[0026] Optionally, the formula for calculating the measured flow velocity at different locations in the filter section is:
[0027]
[0028] In the formula, v represents the measured flow velocity, d represents the inner diameter of the filter, and h represents the depth.
[0029] Optionally, the clogging factor at each location of the filter section is determined based on the measured flow velocity at each location, specifically including:
[0030] Based on the measured flow rate at each location in the filter section, and the standard flow rate under the same pumping volume conditions, according to the formula... Calculate the congestion factor at each location;
[0031] In the formula, φ represents the congestion factor, and v t This indicates the standard flow rate under the same pumping volume conditions.
[0032] Optionally, based on the clogging factor at each location of the filter segment, the degree of clogging at each location is analyzed, specifically including:
[0033] When φ = 0, it is determined that there is no blockage;
[0034] When φ = 1, it is determined that the blockage is complete;
[0035] When 1>φ>0.7, a severe blockage is determined to have occurred.
[0036] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects:
[0037] This invention discloses a device and method for detecting the degree of blockage in a borehole filter section of in-situ leaching uranium mining. During the process of the borehole filter section being raised from bottom to top, the flow measurement module collects flow data at different locations in real time. The signal processing platform determines the measured flow velocity at each location based on the real-time collected flow data and calculates the blockage factor at each location. Then, the degree of blockage at each location is determined by the blockage factor, thus realizing the detection of the degree of blockage at each location of the borehole filter section. Attached Figure Description
[0038] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0039] Figure 1 This is a structural diagram of a device for detecting the degree of blockage in a borehole filter section of uranium leaching mining, provided in Embodiment 1 of the present invention.
[0040] Figure 2 This is a flowchart of a method for detecting the degree of blockage in a borehole filter section during in-situ leaching uranium mining, provided in Embodiment 2 of the present invention;
[0041] Figure 3 This is a clogging degree identification diagram of the SC-01 pore filter section provided in Embodiment 2 of the present invention;
[0042] Figure 4 This is a video detection image of the SC-01 hole blockage provided in Embodiment 2 of the present invention;
[0043] Figure 5 This is a comparison chart of the standard flow velocity curve and the measured flow velocity curve of the SC-01 pore filter section provided in Embodiment 2 of the present invention.
[0044] Symbol explanation: 1-Measuring instrument, 101-Video probe, 102-Flow measurement module, 2-Cable, 3-Submersible pump, 4-Signal processing platform, 5-Guide wheel, 6-Filter, 7-Borehole static water level. Detailed Implementation
[0045] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0046] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0047] Example 1
[0048] like Figure 1 As shown, this embodiment of the invention provides a device for detecting the degree of blockage in a borehole filter section of in-situ leaching uranium mining, including: a flow measurement module 102, a cable 2, a guide wheel 5, and a signal processing platform 4.
[0049] A guide wheel 5 is installed at the borehole head, a flow measurement module 102 is installed inside the borehole, and a signal processing platform 4 is located outside the borehole. A cable 2 is wound around the guide wheel 5; one end of the cable 2 is connected to the flow measurement module 102, and the other end is connected to the signal processing platform 4. The guide wheel 5 is used to lift the flow measurement module 102 from bottom to top in the borehole filter section at a preset lifting speed. The flow measurement module 102 is used to collect flow data at different locations in real time during the lifting process of the borehole filter section from bottom to top, and transmit the real-time collected flow data at different locations to the signal processing platform 4. The signal processing platform 4 is used to determine the measured flow velocity at each location based on the real-time collected flow data at each location, and calculate the blockage factor at each location based on the measured flow velocity at each location, thereby determining the degree of blockage at each location in the borehole filter section through the blockage factor.
[0050] Reference Figure 1 The detection device further includes a video probe 101. The video probe 101 is fixedly connected to the flow measurement module 102. The video probe 101 is connected to the signal processing platform 4 via a cable 2. The video probe 101 is used to record borehole video images during the process of raising the flow measurement module 102 from bottom to top in the borehole filter section, and transmits the recorded borehole video images to the signal processing platform 4. The signal processing platform 4 is used to analyze the cause of blockage based on the recorded borehole video images.
[0051] The video probe 101 is primarily a downhole pressure-resistant and waterproof camera, providing downward and circumferential views to observe and record the clogging status of the downhole filter 6. The flow measurement module 102 and the video probe 101 together form the measuring instrument 1. Signals collected by the measuring instrument 1 are transmitted via cable 2 to the signal processing platform 4 on the surface, where they are decoded to obtain viewable flow data and video images. The guide wheel 5 mainly serves as a sliding channel for the cable 2 during the raising and lowering of the measuring instrument 1.
[0052] The flow measurement module 102 includes a flow measurement element and a flow collector. The flow measurement element and the flow collector are fixedly connected; the flow collector is used to automatically open the supporting wellbore to center the flow measurement element. The flow measurement element is connected to one end of a cable 2. The flow measurement element is used to collect flow data at different locations in real time during the upward hoisting process of the borehole filter section, and transmits the real-time collected flow data from different locations to the signal processing platform 4. The flow collector is... Figure 1 The two solid black triangles in the diagram. During operation, the flow collection device automatically opens to support the well wall, centering the measuring instrument and measuring the radial flow rate within the borehole using the built-in flow measurement element.
[0053] The device for detecting the degree of blockage in borehole filter sections of uranium leaching mining according to an embodiment of the present invention is applicable to vertical and horizontal wells with different completion methods in current uranium leaching mining.
[0054] Example 2
[0055] like Figure 2 As shown, this embodiment of the invention provides a method for detecting the degree of blockage in a borehole filter section of in-situ uranium leaching mining. The detection method is applied to the detection device of Embodiment 1, and the detection method includes:
[0056] Step 1: Determine the relationship between boost speed and response flow rate.
[0057] First, the flow measurement module 102 is lowered to the lower part of the borehole filter 6 using guide roller 5, and instrument debugging and other preparatory work are carried out on the ground. Then, zero flow measurement is performed, specifically: the flow measurement module 102 is lifted from the lower part of the filter 6 to the upper part of the filter 6 at a constant speed v0, and the flow rate displayed by the instrument at this lifting speed Q0 is obtained, which is defined as the zero flow rate at this lifting speed. The above operation is repeated at different lifting speeds, and the relationship between the lifting speed and the response flow rate Q0 = f(v0) is obtained using a linear fitting method.
[0058] Step 2: Raise the flow measurement module 102 from bottom to top in the borehole filter section at a preset lifting speed, and collect flow data at different locations in real time.
[0059] The submersible pump 3 is lowered to a certain depth below the borehole static water level 7 (the static water level is the depth of the water in the borehole when no pumping operation is being performed), and the solution is pumped at a constant flow rate Q1 until the water level stabilizes. The flow measurement module 102 and video probe 101 are activated, and the measuring instrument 1 (composed of the flow measurement module 102 and video probe 101) is raised from bottom to top to measure the flow rate Q at different positions h in the filter section. c And record the video.
[0060] Step 3: Based on the preset boost speed, determine the response flow rate at the preset boost speed by utilizing the relationship between the boost speed and the response flow rate.
[0061] The response flow rate at the preset lifting speed is obtained by substituting the actual lifting speed (preset lifting speed) into the fitting formula Q0=f(v0) determined in step 1.
[0062] Step 4: Use the response flow rate at the preset boost speed to correct the flow data at different locations.
[0063] Using the formula Q = Q c -Q0 performs flow rate correction.
[0064] Step 5: Based on the corrected flow data, calculate the measured flow velocity at different locations in the filter section.
[0065] Based on measured traffic data, according to the formula Calculate the flow velocity distribution within the filter section. In the formula, v represents the measured flow velocity, d represents the inner diameter of the filter, and h represents the depth.
[0066] Step 6: Determine the clogging factor at each location of the filter section based on the measured flow rate at each location.
[0067] The degree of filter clogging is quantitatively characterized by measuring the loss of flow rate relative to the standard flow rate under the same pumping conditions. This loss is defined as the clogging factor, denoted by φ.
[0068] Before performing step 6, the measured velocity (v) curve and the standard velocity (v) curve can also be plotted in the same coordinate system. t The curves are compared to qualitatively analyze the velocity distribution characteristics. It should be noted that the standard velocity v... t The flow rate is determined by well logging after well completion. For boreholes that were not logged after well completion, flow rate can be determined by well logging after routine well washing operations.
[0069] Qualitative analysis is the first step in the analysis, and its main purpose is to visually observe the clogging status of the borehole filter section. If the actual flow velocity curve differs little from the standard flow velocity curve, the clogging of the filter section is considered not severe. If the difference is large, a further quantitative analysis is required, along with further analysis of the causes of clogging based on image data. Qualitative analysis does not affect the results of subsequent quantitative analysis and can serve as a basis for deciding whether to conduct quantitative analysis.
[0070] Step 7: Analyze the degree of blockage at each location of the filter segment based on the blockage factor at each location.
[0071] When φ = 0, it indicates that filter 6 is not clogged; when φ = 1, it indicates that filter 6 is completely clogged; the closer the φ value is to 1, the more severe the clogging. Generally, when 1 > φ > 0.7 (i.e., the filter section loses 70% of its seepage capacity), it is considered that a severe blockage has occurred at that location. When 0.7 ≥ φ > 0, it is considered that a slight blockage has occurred at that location. Finally, the cause of the blockage is analyzed by combining the recorded video image data.
[0072] Steps 3 to 7 can be executed by the signal processing platform 4 in the uranium leaching borehole filter section blockage detection device.
[0073] The following section uses SC-01, a borehole immersed in water in a certain area of Inner Mongolia Autonomous Region, as an example to introduce this testing method in detail:
[0074] The SC-01 borehole is 410m deep, with a static water level of 25m and a filter location at 398-405m. First, the measuring instrument 1, cable 2, signal processing platform 4, and other tools were assembled and tested on the ground.
[0075] (1) Install the guide wheel 5 at the borehole opening, and assemble and debug the measuring instrument 1 on the ground. Use the guide wheel 5 to lower the measuring instrument 1 to a position 2m below the borehole filter 6, i.e., 407m.
[0076] (2) Measurement of zero flow. Start the measuring instrument 1 and raise it from the lower 2m of the filter 6 to the upper 2m of the filter 6 at lifting speeds of 1m / min, 3m / min, 5m / min, 7m / min, and 9m / min, respectively (396m-407m). Measure three times at each lifting speed and take the average value as the zero flow at that lifting speed. The relationship between the lifting speed and the response flow is obtained using a linear fitting method: Q0 = f(v0).
[0077] Q0 = 0.0011v0 + 0.0052
[0078] Where v0 is the boost speed (m / min) and Q0 is the zero flow rate (m). 3 / h.
[0079] (3) After completing the above operations, lower the measuring device back to the position 407m below the borehole filter 6. Then lower the submersible pump 3 to a position 100m below the borehole static water level 7 (i.e., a depth of 125m), at a speed of 4m. 3 The solution is pumped at a constant flow rate of / h until the water level stabilizes. The flow measurement and video detection module is activated, and the measuring instrument 1 is raised from bottom to top at a speed of 5m / min, collecting flow data Q in real time. c Meanwhile, observe and record the video status of the filter segment.
[0080] (4) Calculate the velocity distribution. First, use the formula Q = Qc -Q0 is used to correct the measured flow rate to eliminate the influence of the lifting speed. Q0 is obtained by substituting the actual lifting speed into the fitting formula Q0 = f(v0) determined in step (2). Then, based on the corrected flow rate Q, the formula is used... Calculate the flow velocity in the filter section. Plot the measured flow velocity (v) curve and the standard flow velocity (v) curve in the same coordinate system. t Compare the curves, such as Figure 5 As shown, the flow velocity distribution characteristics are qualitatively analyzed. It should be noted that the standard flow velocity (v) is determined by flow velocity logging after well completion. For boreholes where flow velocity logging was not performed after well completion, it can be determined by flow velocity logging after routine well washing operations.
[0081] (5) Analyze the degree of clogging. The degree of clogging of filter 6 is quantitatively characterized by measuring the loss of flow rate relative to the standard flow rate under the same pumping conditions. This loss is defined as the clogging factor, denoted by φ. When φ = 0, it indicates that filter 6 is not clogged; when φ = 1, it indicates that it is completely clogged; the closer the φ value is to 1, the more severe the clogging. Generally, when φ > 0.7 (i.e., the filter section loses 70% of its seepage capacity), it is considered that a severe blockage has occurred at that location.
[0082] Based on measured and standard flow velocity data, the blockage factor φ is calculated. A φ-h curve is plotted with h as the x-axis and φ as the y-axis, as shown below. Figure 3 As shown, the degree of clogging at different locations in the filter section is quantitatively analyzed. Figure 3 It was found that four locations in the SC-01 filter section had clogging factors higher than 0.7, indicating severe clogging. The depths corresponding to the four severely clogged locations A, B, C, and D were 399.75m, 401.75m, 402.50m, and 403.75m, respectively. The causes of the clogging were analyzed based on the recorded video footage. Figure 4 Part (a) in the image represents the video image at a depth of 399.75m. Figure 4 Part (b) in the image represents the video image at a depth of 401.75m. Figure 4 Part (c) in the image represents the video image at a depth of 402.50m. Figure 4 Part (d) in the image represents a video image at a depth of 403.75m. It was found that severe physical scaling occurred on the inner wall of filter 6 at these four locations. The cause of the blockage was determined to be physical scaling blocking the flow channel. It is recommended to carry out corresponding well cleaning operations in a timely manner.
[0083] The method for detecting the degree of blockage in borehole filter sections in uranium leaching mining according to an embodiment of the present invention is also applicable to vertical and horizontal wells with different completion methods in current uranium leaching mining.
[0084] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0085] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the method and core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.
Claims
1. An in-situ leaching uranium drilling borehole filter section clogging degree detection device, characterized in that, The detection device includes: a flow measurement module, a cable, a guide wheel, and a signal processing platform; The guide wheel is installed at the borehole head, the flow measurement module is set in the borehole, and the signal processing platform is located outside the borehole; The cable is wound around the guide wheel; one end of the cable is connected to the flow measurement module, and the other end of the cable is connected to the signal processing platform. The guide wheel is used to lift the flow measurement module from bottom to top in the borehole filter section at a preset lifting speed; the flow measurement module is used to collect flow data at different positions in real time during the process of lifting the borehole filter section from bottom to top, and transmit the real-time collected flow data at different positions to the signal processing platform. The signal processing platform is used for determining the measured flow rate at each position according to the flow data collected in real time at each position, and calculating the clogging factor at each position based on the measured flow rate at each position, and then determining the clogging degree at each position of the drill hole filter section through the clogging factor; according to the measured flow rate at each position of the filter section and the standard flow rate under the condition of the same liquid pumping amount, the clogging factor at each position is calculated according to the formula The clogging factor at each position is calculated; in the formula, The clogging factor is represented by c, The standard flow rate under the condition of the same liquid pumping amount is represented by v, The measured flow rate is represented by v.
2. The in-situ leachable uranium borehole filter segment plugging extent detection apparatus of claim 1, wherein, The detection device also includes: a video probe; The video probe is fixedly connected to the flow measurement module; The video probe is connected to the signal processing platform via a cable; the video probe is used to record drilling video images during the process of raising the flow measurement module from bottom to top in the drilling filter section, and to transmit the recorded drilling video images to the signal processing platform. The signal processing platform is used to analyze the causes of blockage based on the recorded drilling video images.
3. The in-situ leachable uranium borehole filter segment plugging extent detection apparatus of claim 1 wherein, The flow measurement module includes: a flow measurement element and a flow collection device; The flow measurement element and the flow collection device are fixedly connected; the flow collection device is used to automatically open the supporting well wall to center the flow measurement element. The flow measurement element is connected to one end of the cable. The flow measurement element is used to collect flow data at different locations in real time during the process of raising the borehole filter section from bottom to top, and transmit the real-time collected flow data at different locations to the signal processing platform.
4. A method of detecting the degree of plugging of an in-situ leaching uranium borehole filter section, characterised by, The detection method is applied to the detection apparatus according to any one of claims 1-3, and the detection method includes: Determine the relationship between boost speed and response flow rate; The flow measurement module is raised from bottom to top in the borehole filter section at a preset lifting speed, and flow data at different locations are collected in real time. Based on the preset boost rate, the response flow rate at the preset boost rate is determined by utilizing the relationship between the boost rate and the response flow rate. The flow rate at different locations is corrected using the response flow rate at a preset boost speed. Based on the corrected flow data, the measured flow velocity at different locations in the filter section is calculated; According to the measured flow rate at each position of the filter section, a clogging factor at each position of the filter section is determined; specifically comprising: according to the measured flow rate at each position of the filter section, and the standard flow rate under the same liquid pumping amount condition, the clogging factor at each position is calculated according to the formula The clogging factor at each position is calculated; wherein, represents the clogging factor, represents the standard flow rate under the same liquid pumping amount condition, represents the measured flow rate; The degree of clogging at each location in the filter segment is analyzed based on the clogging factor at each location.
5. The method of claim 4, wherein the method further comprises: Determine the relationship between boost speed and response throughput, specifically including: The flow measurement module in the detection device is raised from the lower part of the borehole filter section to the upper part of the borehole filter section at different lifting speeds to obtain the response flow rate at each lifting speed. Based on the response flow rate at different lifting speeds, the relationship between lifting speed and response flow rate is obtained using a linear fitting method.
6. The method of claim 4, wherein the method further comprises: The flow measurement module is raised from bottom to top in the borehole filter section at a preset lifting speed, and flow data at different locations is collected in real time. This also includes: Lowering the submersible pump to a certain depth below the static water level of the borehole to maintain a constant flow rate Pumping the solution until the water level stabilizes; wherein the static water level is the depth of the water in the borehole when no pumping or injection is being performed.
7. The method according to claim 4, wherein the method is characterized by: Correcting flow data at different locations using response flow at a preset boost speed, specifically including: According to the response flow under the preset lifting speed, the flow data is corrected through a formula = ; in the formula, represents the corrected flow data, represents the flow data before correction, represents the response flow under the preset lifting speed.
8. The method of claim 7, wherein the method further comprises: The formula for calculating the measured flow velocity at different locations in the filter section is as follows: ; In the formula, d represents the inner diameter of the filter, h represents the depth.
9. The method of claim 8, wherein the method further comprises: Based on the clogging factor at each location in the filter segment, the degree of clogging at each location in the filter segment is analyzed, specifically including: When no clogging is determined; When the determination is made that the filter is completely clogged; When > > 0.7, it is determined that a severe blockage has occurred.